IEEE

Vision-Based Fall Prediction With Spatial–Temporal Graph Convolutional Networks

Abstract: Falls pose a significant risk to the lives and independence of elderly individuals, raising widespread concern in public healthcare. Timely and accurate prediction of fall events prior to ...
IEEE

Research on Cross-Level Relation Completion of Knowledge Graphs via Fusion of Graph Convolutional Attention and Knowledge-Calibrated BERT

Abstract: In the process of concept graph construction, the accuracy of hierarchical relationships is crucial for knowledge representation and reasoning. Addressing the issue of Hierarchical Skipping ...
Frontiers

Graph-Guided Neural Networks: Revolutionizing Anomaly Detection in Chemical Engineering

The increasing complexity of modern chemical engineering processes presents significant challenges for timely and accurate anomaly detection. Traditional ...